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Data Annotation Manager Jobs in California (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts. Responsibilities : • Build a data annotation team • Manage ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Manage the people side of data annotations * Create documentation * Be in the weeds and annotate data yourself anytime something new is being designed * Create data annotation processes What You'll ...

New

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

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Data Annotation Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do data annotation manager jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data annotation manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Data Annotation Manager jobs in California? For Data Annotation Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in California look for? The top searched job categories for Data Annotation Manager jobs in California are:
What cities in California are hiring for Data Annotation Manager jobs? Cities in California with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in California as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.

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